journal article Open Access Jan 13, 2020

Association of body mass index and osteoarthritis with healthcare expenditures and utilization

Obesity Science & Practice Vol. 6 No. 2 pp. 139-151 · Wiley
Abstract
SummaryObjectiveOsteoarthritis is highly prevalent and, on aggregate, is one of the largest contributors to US spending on hospital‐based health care. This study sought to examine body mass index (BMI)–related variation in the association of osteoarthritis with healthcare utilization and expenditures.MethodsThis is a retrospective study using administrative insurance claims linked to electronic health records. Study patients were aged ≥ 18 years with ≥1 BMI measurement recorded in 2014, with the first (index) BMI ≥ 25 kg m−2. Study outcomes and covariates were measured during a 1‐year evaluation period spanning 6 months before and after index. Multivariable regression analyses examined the association of BMI with osteoarthritis prevalence, and the combined associations of osteoarthritis and BMI with osteoarthritis‐related medication utilization, all‐cause hospitalization, and healthcare expenditures.ResultsA total of 256 459 patients (median age = 56 y) met study eligibility criteria; 14.8% (38 050) had osteoarthritis. In multivariable analyses, the adjusted prevalence of osteoarthritis increased with increasing BMI (12.7% in patients who were overweight [25.0‐29.9 kg m−2] to 21.9% in patients with class III obesity [BMI ≥ 40 kg m−2], P < .001). Among patients with osteoarthritis, increasing BMI (from overweight to class III obesity) was associated with increased (all P < .01): utilization rates for analgesic medications (41.5‐53.5%); rates of all‐cause hospitalization (26.3%‐32.0%); and total healthcare expenditures ($18 204‐$23 372).ConclusionThe prevalence and economic burden of osteoarthritis grow with increasing BMI; primary prevention of weight‐related osteoarthritis and secondary weight management may help to alleviate this burden.
Topics

No keywords indexed for this article. Browse by subject →

References
20
[2]
Centers for Disease Control and Prevention.Osteoarthritis. Available at:https://www.cdc.gov/arthritis/basics/osteoarthritis.htm. Accessed November 20 2017.
[3]
TorioC(AHRQ) MooreB(Truven Health Analytics).National Inpatient Hospital Costs: The Most Expensive Conditions by Payer 2013. HCUP Statistical Brief #204. May2016. Agency for Healthcare Research and Quality Rockville MD.http://www.hcupus.ahrq.gov/reports/statbriefs/sb204‐Most‐Expensive‐Hospital‐Conditions.pdf.
[4]
Le TK "Health care costs in US patients with and without a diagnosis of osteoarthritis" J Pain Res (2012)
[7]
FACTORS ASSOCIATED WITH OSTEOARTHRITIS OF THE KNEE IN THE FIRST NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY (HANES I)

JENNIFER J. ANDERSON, David T. Felson

American Journal of Epidemiology 10.1093/oxfordjournals.aje.a114939
[9]
World Health Organization.Body Mass Index—BMI. Available at:http://www.euro.who.int/en/health‐topics/disease‐prevention/nutrition/a‐healthy‐lifestyle/bodymass‐index‐bmi. Accessed November 20 2017.
[11]
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data

Hude Quan, Vijaya Sundararajan, Patricia Halfon et al.

Medical Care 10.1097/01.mlr.0000182534.19832.83
[12]
Estimating predicted probabilities from logistic regression: different methods correspond to different target populations

Clemma J Muller, Richard F MacLehose

International Journal of Epidemiology 10.1093/ije/dyu029
[13]
Multum.Denver (CO): Cerner Corporation. Lexicon. Available from:http://www.multum.com/Lexicon.htm. Accessed November 20 2017.
Cited By
23
BMC Medicine
Related

You May Also Like